You can process channel data to find statistically significant results. For example, you can retrieve financial data for analysis, and use filtering to uncover signals of interest.
- Find Mean of Data Ignoring NaN Values
This example shows how to find the mean of data in a ThingSpeak™ channel while ignoring the NaN values.
- Peak Analysis of Data
This example shows how to perform basic peak analysis of data in your ThingSpeak™ channel.
- Identify Irregularly Sampled Data
Identify irregularly sampled data in a ThingSpeak™ channel.
- Regularize Irregularly Sampled Data
Update timestamps of data in a ThingSpeak™ channel to remove irregularity.
- Remove Outliers in Your Data
This example shows how to detect and remove outliers in your ThingSpeak™ channel data using a Hampel filter.